mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 15:48:29 +00:00
@@ -90,12 +90,8 @@ class CrewAgentExecutor(AgentExecutor):
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color_mapping[tool.name] = color_mapping[action.tool]
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actions: List[AgentAction]
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if isinstance(output, AgentAction):
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actions = [output]
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else:
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actions = output
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for agent_action in actions:
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yield agent_action
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actions = [output] if isinstance(output, AgentAction) else output
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yield from actions
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for agent_action in actions:
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if run_manager:
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run_manager.on_agent_action(agent_action, color="green")
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@@ -52,15 +52,13 @@ class CrewAgentOutputParser(ReActSingleInputOutputParser):
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regex = (
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r"Action\s*\d*\s*:[\s]*(.*?)[\s]*Action\s*\d*\s*Input\s*\d*\s*:[\s]*(.*)"
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)
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action_match = re.search(regex, text, re.DOTALL)
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if action_match:
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if action_match := re.search(regex, text, re.DOTALL):
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action = action_match.group(1).strip()
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action_input = action_match.group(2)
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tool_input = action_input.strip(" ")
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tool_input = tool_input.strip('"')
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last_tool_usage = self.tools_handler.last_used_tool
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if last_tool_usage:
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if last_tool_usage := self.tools_handler.last_used_tool:
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usage = {
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"tool": action,
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"input": tool_input,
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@@ -70,8 +68,7 @@ class CrewAgentOutputParser(ReActSingleInputOutputParser):
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tool=action, tool_input=tool_input, text=text
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)
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result = self.cache.read(action, tool_input)
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if result:
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if result := self.cache.read(action, tool_input):
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action = AgentAction(action, tool_input, text)
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return CacheHit(action=action, cache=self.cache)
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@@ -57,10 +57,7 @@ class Crew(BaseModel):
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@classmethod
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@field_validator("config", mode="before")
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def check_config_type(cls, v: Union[Json, Dict[str, Any]]):
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"""Ensures the 'config' field is a valid JSON or dictionary."""
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if isinstance(v, Json):
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return json.loads(v)
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return v
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return json.loads(v) if isinstance(v, Json) else v
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@model_validator(mode="after")
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def check_config(self):
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@@ -49,14 +49,13 @@ class Task(BaseModel):
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Returns:
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Output of the task.
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"""
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if self.agent:
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result = self.agent.execute_task(
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task=self.description, context=context, tools=self.tools
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)
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self.output = TaskOutput(description=self.description, result=result)
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return result
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else:
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if not self.agent:
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raise Exception(
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f"The task '{self.description}' has no agent assigned, therefore it can't be executed directly and should be executed in a Crew using a specific process that support that, either consensual or hierarchical."
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)
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result = self.agent.execute_task(
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task=self.description, context=context, tools=self.tools
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)
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self.output = TaskOutput(description=self.description, result=result)
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return result
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@@ -12,6 +12,6 @@ class TaskOutput(BaseModel):
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@model_validator(mode="after")
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def set_summary(self):
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excerpt = " ".join(self.description.split(" ")[0:10])
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excerpt = " ".join(self.description.split(" ")[:10])
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self.summary = f"{excerpt}..."
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return self
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@@ -68,9 +68,8 @@ class AgentTools(BaseModel):
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if available_agent.role == agent
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]
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if len(agent) == 0:
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if not agent:
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return f"\nError executing tool. Co-worker mentioned on the Action Input not found, it must to be one of the following options: {', '.join([agent.role for agent in self.agents])}.\n"
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agent = agent[0]
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result = agent.execute_task(task, context)
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return result
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return agent.execute_task(task, context)
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